"เรียน Python จาก 0" สำหรับ วิเคราะห์ข้อมูล ใครเป็นมือใหม่ เรียนเถ้อะ ถือว่าขอเลย

Hello and welcome to the last video of the year! Yay! See you again next year (just next week!). For now, this might not be suitable for seasoned Python users (but experienced users are welcome to share their knowledge, and feel free to comment if I've missed anything). But this episode is truly a "welcome newbie"! For those looking for a video to learn about Python, the tool that some people even go back to using spreadsheets for (which is perfectly fine, I understand! 5555 Because sometimes I am too!). Anyone looking for a video that starts from scratch, I think this is what you need! Let's go! For writing Python code 👇🏻 https://colab.research.google.com/?au... . Timestamp 00:00:00 - Introduction and preparation for beginners (Complete Beginner) 00:01:44 - The meaning of Data Analytics: Using data to solve business problems 00:02:51 - Why use this tool? 00:03:41 - Advantages of Python: 1. Easy to read, like English 00:04:31 - Advantages of Python: 2. Has libraries to support data work (Pandas, Numpy, Matplotlib) 00:05:43 - Advantages of Python: 3. Managing large datasets that Excel can't handle 00:07:41 - Agenda: Main topics to be learned today (Variable, Data Type, Pandas) 00:09:23 - What is Python: A language that acts as an intermediary for communicating with computers 00:10:58 - Coding Principles: Clear and Sequential Understanding 00:11:51 - Step-by-step computer instructions (making coffee) 00:12:47 - Variables: Like data storage containers 00:14:45 - Using the print() command to display results from a variable container 00:15:12 - Data Types: Integer and Float 00:15:57 - Data Types: String and Boolean 00:17:18 - Basic date storage 00:17:57 - Calculations using variables (Calculation): Finding Total Sales 00:19:40 - List Data Structure: Storing Multiple Values ​​in a Single Variable 00:21:21 - Accessing Data in a List Using Indexing (Starting from 0) 00:22:57 - Dictionary Data Structure: Storing Key and Value Data 00:24:56 - How to View Specific Data from a Dictionary 00:26:24 - Getting to Know Pandas: A Library for Managing Table Data 00:27:39 - Steps for Importing Pandas as pd 00:28:46 - How to Create a Data Frame from Raw Data 00:30:45 - Displaying Data in a Simple Table Format Similar to a Spreadsheet 00:32:00 - df.head() and df.tail() Commands: Viewing Data Above and Below the Row 00:32:07 - df.info() Command: Checking the Completeness and Data Type of a Table 00:32:57 - The `df.describe()` command: Summarizes basic statistics (Mean, Max, Min, SD) 00:34:39 - Workshop: Starting to write real code on Google Colab 00:38:23 - How to read statistical values ​​from the `describe` command on the computer screen 00:39:53 - Adding a new column and calculating 7% VAT with Python 00:40:40 - Filtering data with various conditions 00:41:55 - Summarizing sales and finding specific averages 00:43:03 - Why Python is the answer when dealing with massive amounts of data 00:44:04 - The importance of cleaning data and reducing bias in data 00:45:35 - Closing remarks and inspiration: "If you can't run away, fight it." . 🟠 Subscribe for free articles and receive a discount code for Fastlane Data Analytics courses at http://www.common-learn.com/newsletter 🎉 Learn Data Analytics now! Fun and educational text-based courses, including other courses, can be found at: https://common-learn.com/courses/ . 🚀 Join our community for data-related discussions and other topics at:   / discord   . 🙏🏻 If you enjoyed the video, please like, share, and subscribe! #data #datanalytics #datascience #learndataanalysis #bigdata #dataengineering #sql #python #googlesheet #microsoftexcel #rstudio #tableau #looker #powerbi